My question regards to the Convolutional Neural Networks (CNNs)
How we can do Unsupervised learning with (CNN) to Identify the similarity region in any organ in the human body using two medical imaging modalities?
Please check the following paper
Conference Paper Medical Image Segmentation via Unsupervised Convolutional Ne...
1) https://www.sciencedirect.com/science/article/pii/S0939388918301181
2) https://www.sciencedirect.com/science/article/pii/S235291481930214X
3) https://link.springer.com/article/10.1007/s10278-019-00227-x
4) https://arxiv.org/ftp/arxiv/papers/1704/1704.06825.pdf
The basic premise of transfer learning is simple: take a model trained on a large dataset and transfer its knowledge to a smaller dataset. For object recognition with a CNN, we freeze the early convolutional layers of the network and only train the last few layers which make a prediction.
On a related note, you could also check out U-Nets: Article U-Net: Convolutional Networks for Biomedical Image Segmentation
Cheers, Raoul
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